A naukri.com initiative
Dev
3w
201
Image Credit: Dev
[ Solution Library AWS ] Live Chat Content AI on AWS
- The Live Chat Content Moderation with generative AI on AWS project aims to create a scalable, real-time chat moderation system for live chat platforms using AWS services and generative AI.
- The architecture involves services like Amazon API Gateway, AWS Lambda, Amazon DynamoDB, Amazon SQS, AWS AppSync, Amazon Bedrock, among others, ensuring real-time moderation using generative AI and multiple AI model support.
- AWS services costs vary based on usage, such as Amazon API Gateway, AWS Lambda, Amazon DynamoDB, etc., and a monthly cost estimate example is detailed for various services.
- The system supports four AI models for chat moderation, each with different capabilities and strengths, allowing users to switch between these models.
- Prerequisites for deployment include an AWS Account, AWS CLI, Node.js, Git, and jq installed, with steps outlined for deployment, deployment validation, and usage after installation.
- Deployment validation involves checking the status of various resources like CloudFormation stack, DynamoDB tables, Lambda function, SQS queues, AppSync API, and CloudFront distribution to confirm a successful deployment.
- Monitoring and observability through CloudWatch dashboard, performance considerations, security measures like encryption at rest and least-privilege IAM roles, and cleanup steps are highlighted for efficient system management.
- Next steps for system enhancement include customizing AI prompts, implementing user authentication, and enhancing DDoS attack protection using AWS Shield Advanced.
- Readiness notices emphasize the customer's independent assessment responsibility, and the authors of the project are Gabriel Costa and Juliano Baeta.
Read Full Article
12 Likes
For uninterrupted reading, download the app